The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Population-Based Resequencing of Experimentally Evolved Populations Reveals the Genetic Basis of Body Size Variation in Drosophila melanogaster
Open accessAbstract
Body size is a classic quantitative trait with evolutionarily significant variation within many species. Locating the alleles responsible for this variation would help understand the maintenance of variation in body size in particular, as well as quantitative traits in general. However, successful genome-wide association of genotype and phenotype may require very large sample sizes if alleles have low population frequencies or modest effects. As a complementary approach, we propose that population-based resequencing of experimentally evolved populations allows for considerable power to map functional variation. Here, we use this technique to investigate the genetic basis of natural variation in body size in Drosophila melanogaster. Significant differentiation of hundreds of loci in replicate selection populations supports the hypothesis that the genetic basis of body size variation is very polygenic in D. melanogaster. Significantly differentiated variants are limited to single genes at some loci, allowing precise hypotheses to be formed regarding causal polymorphisms, while other significant regions are large and contain many genes. By using significantly associated polymorphisms as a priori candidates in follow-up studies, these data are expected to provide considerable power to determine the genetic basis of natural variation in body size.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“re-sequencing of evolved outbred populations of Drosophila melanogaster has provided strong support for selection on thousands of variants being responsible for changes in the highly complex traits of body size and fecundity97,98.”
From Rare and common variants: twenty arguments (2012) · cites this paper as [98]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
DAVID: Database for Annotation, Visualization, and Integrated Discovery
Dennis, G., Sherman, B. T., Hosack, D. A., Yang, J., Gao, W., Lane, H. C., & Lempicki, R. A. (2003) · Genome Biology · doi:10.1186/gb-2003-4-5-p3 · Cited by 9,327
Common SNPs explain a large proportion of the heritability for human height
Yang, J., Benyamin, B., McEvoy, B. P., Gordon, S., Henders, A. K., Nyholt, D. R., Madden, P. A., Heath, A. C., Martin, N. G., Montgomery, G. W., et al. (2010) · Nature Genetics · doi:10.1038/ng.608 · Cited by 4,446
The hitch-hiking effect of a favourable gene
Smith, J. M., & Haigh, J. (1974) · Genetical Research · doi:10.1017/s0016672300014634 · Cited by 3,415
The hitch-hiking effect of a favourable gene
Smith, J. M., & Haigh, J. (2007) · Genetics Research · doi:10.1017/s0016672308009579 · Cited by 2,675
Hundreds of variants clustered in genomic loci and biological pathways affect human height
Lango Allen, H., Estrada, K., Lettre, G., Berndt, S. I., Weedon, M. N., Rivadeneira, F., Willer, C. J., Jackson, A. U., Vedantam, S., Raychaudhuri, S., et al. (2010) · Nature · doi:10.1038/nature09410 · Cited by 1,945
Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines
Atwell, S., Huang, Y. S., Vilhjálmsson, B. J., Willems, G., Horton, M., Li, Y., Meng, D., Platt, A., Tarone, A. M., Hu, T. T., et al. (2010) · Nature · doi:10.1038/nature08800 · Cited by 1,780
Self-citationViable populations for conservation
(1988) · Biological Conservation · doi:10.1016/0006-3207(88)90098-5 · Cited by 1,359
Genome evolution and adaptation in a long-term experiment with Escherichia coli
Barrick, J. E., Yu, D. S., Yoon, S. H., Jeong, H., Oh, T. K., Schneider, D., Lenski, R. E., & Kim, J. F. (2009) · Nature · doi:10.1038/nature08480 · Cited by 1,184
Cited by
Sorted by citations
Rare and common variants: twenty arguments
Gibson, G. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3118 · Cited by 1,278
Kofler, R., Pandey, R. V., & Schlötterer, C. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr589 · Cited by 815
Kawecki, T. J., Lenski, R. E., Ebert, D., Hollis, B., Olivieri, I., & Whitlock, M. C. (2012) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2012.06.001 · Cited by 807
Sequencing pools of individuals — mining genome-wide polymorphism data without big funding
Schlötterer, C., Tobler, R., Kofler, R., & Nolte, V. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3803 · Cited by 803
Robust Identification of Local Adaptation from Allele Frequencies
Günther, T., & Coop, G. (2013) · Genetics · doi:10.1534/genetics.113.152462 · Cited by 615
Genetics of Climate Change Adaptation
Franks, S. J., & Hoffmann, A. A. (2012) · Annual Review of Genetics · doi:10.1146/annurev-genet-110711-155511 · Cited by 498
Natural history collections as windows on evolutionary processes
Holmes, M. W., Hammond, T. T., Wogan, G. O. U., Walsh, R. E., LaBarbera, K., Wommack, E. A., Martins, F. M., Crawford, J. C., Mack, K. L., Bloch, L. M., et al. (2016) · Molecular Ecology · doi:10.1111/mec.13529 · Cited by 335
Using genomics to characterize evolutionary potential for conservation of wild populations
Harrisson, K. A., Pavlova, A., Telonis‐Scott, M., & Sunnucks, P. (2014) · Evolutionary Applications · doi:10.1111/eva.12149 · Cited by 321
Schlötterer, C., Kofler, R., Versace, E., Tobler, R., & Franssen, S. U. (2014) · Heredity · doi:10.1038/hdy.2014.86 · Cited by 285
Elucidating the molecular architecture of adaptation via evolve and resequence experiments
Long, A. D., Liti, G., Lupták, A., & Tenaillon, O. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3937 · Cited by 272
Thinking About the Evolution of Complex Traits in the Era of Genome-Wide Association Studies
Sella, G., & Barton, N. (2019) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-083115-022316 · Cited by 290
Fabian, D. K., Kapun, M., Nolte, V., Kofler, R., SCHMIDT, P. S., Schlötterer, C., & Flatt, T. (2012) · Molecular Ecology · doi:10.1111/j.1365-294x.2012.05731.x · Cited by 248
WIT, P. J. G. M. D., Pespeni, M. H., Ladner, J. T., Barshis, D. J., Seneca, F., Jaris, H., Therkildsen, N. O., Morikawa, M. K., & Palumbi, S. R. (2012) · Molecular Ecology Resources · doi:10.1111/1755-0998.12003 · Cited by 246
Using next-generation sequencing to isolate mutant genes from forward genetic screens
Schneeberger, K. (2014) · Nature reviews genetics · doi:10.1038/nrg3745 · Cited by 233
Gautier, M., Foucaud, J., Gharbi, K., Cezard, T., Galan, M., Loiseau, A., Thomson, M. L., Pudlo, P., Kerdelhué, C., & Estoup, A. (2013) · Molecular Ecology · doi:10.1111/mec.12360 · Cited by 243
Orozco‐terWengel, P., Kapun, M., Nolte, V., Kofler, R., Flatt, T., & Schlötterer, C. (2012) · Molecular Ecology · doi:10.1111/j.1365-294x.2012.05673.x · Cited by 210
Genetic Draft, Selective Interference, and Population Genetics of Rapid Adaptation
Neher, R. A. (2013) · Annual Review of Ecology Evolution and Systematics · doi:10.1146/annurev-ecolsys-110512-135920 · Cited by 200
Can Population Genetics Adapt to Rapid Evolution?
Messer, P. W., Ellner, S. P., & Hairston, N. G. (2016) · Trends in Genetics · doi:10.1016/j.tig.2016.04.005 · Cited by 193
Contrasting genomic shifts underlie parallel phenotypic evolution in response to fishing
Therkildsen, N. O., Wilder, A. P., Conover, D. O., Munch, S. B., Baumann, H., & Palumbi, S. R. (2019) · Science · doi:10.1126/science.aaw7271 · Cited by 192
Schlötterer, C., Kofler, R., Versace, E., Tobler, R., & Franssen, S. U. (2016) · Heredity · doi:10.1038/hdy.2015.85 · Cited by 192
Integrating Body and Organ Size in Drosophila: Recent Advances and Outstanding Problems
Mirth, C. K., & Shingleton, A. W. (2012) · Frontiers in Endocrinology · doi:10.3389/fendo.2012.00049 · Cited by 180
A Guide for the Design of Evolve and Resequencing Studies
Kofler, R., & Schlötterer, C. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mst221 · Cited by 162
Life-History Evolution and the Genetics of Fitness Components in Drosophila melanogaster
Flatt, T. (2020) · Genetics · doi:10.1534/genetics.119.300160 · Cited by 174
Nordström, K. J. V., Albani, M. C., James, G. V., Gutjahr, C., Hartwig, B., Turck, F., Paszkowski, U., Coupland, G., & Schneeberger, K. (2013) · Nature Biotechnology · doi:10.1038/nbt.2515 · Cited by 160
Advances in Quantitative Trait Analysis in Yeast
Liti, G., & Louis, E. J. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002912 · Cited by 168
Evolutionary insight from whole‐genome sequencing of experimentally evolved microbes
DETTMAN, J. R., RODRIGUE, N., MELNYK, A. H., WONG, A., BAILEY, S. F., & KASSEN, R. (2012) · Molecular Ecology · doi:10.1111/j.1365-294x.2012.05484.x · Cited by 160
Burke, M. K., Liti, G., & Long, A. D. (2014) · Molecular Biology and Evolution · doi:10.1093/molbev/msu256 · Cited by 158
Tobler, R., Franssen, S. U., Kofler, R., Orozco‐terWengel, P., Nolte, V., Hermisson, J., & Schlötterer, C. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mst205 · Cited by 141
A Genome-Wide, Fine-Scale Map of Natural Pigmentation Variation in Drosophila melanogaster
Bastide, H., Betancourt, A. J., Nolte, V., Tobler, R., Stöbe, P., Futschik, A., & Schlötterer, C. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003534 · Cited by 141
Host adaptation to viruses relies on few genes with different cross-resistance properties
Martins, N. E., Faria, V. G., Nolte, V., Schlötterer, C., Teixeira, L., Sucena, É., & Magalhães, S. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1400378111 · Cited by 135
Gowinda: unbiased analysis of gene set enrichment for genome-wide association studies
Kofler, R., & Schlötterer, C. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts315 · Cited by 138
GENOMIC BASIS OF AGING AND LIFE-HISTORY EVOLUTION IN DROSOPHILA MELANOGASTER
Remolina, S. C., Chang, P. L., Leips, J., Nuzhdin, S. V., & Hughes, K. A. (2012) · Evolution · doi:10.1111/j.1558-5646.2012.01710.x · Cited by 137
Drosophila melanogaster as a Versatile Model Organism in Food and Nutrition Research
Staats, S., Lüersen, K., Wagner, A. E., & Rimbach, G. H. (2018) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.7b05900 · Cited by 148
Genetic draft, selective interference, and population genetics of rapid adaptationPreprint
Neher, R. A. (2013) · Cited by 129
Epigenetic variation in the Egfr gene generates quantitative variation in a complex trait in ants
Alvarado, S. G., Rajakumar, R., Abouheif, E., & Szyf, M. (2015) · Nature Communications · doi:10.1038/ncomms7513 · Cited by 130
Investigating Natural Variation in Drosophila Courtship Song by the Evolve and Resequence Approach
Turner, T. L., & Miller, P. M. (2012) · Genetics · doi:10.1534/genetics.112.139337 · Cited by 121
Self-citationEstimating the genome-wide contribution of selection to temporal allele frequency change
Buffalo, V., & Coop, G. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1919039117 · Cited by 116
Evolution of central neural circuits: state of the art and perspectives
Roberts, R. J. V., Pop, S., & Prieto-Godino, L. L. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00644-y · Cited by 109
How does adaptation sweep through the genome? Insights from long-term selection experiments
Burke, M. K. (2012) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2012.0799 · Cited by 112
Kapun, M., van Schalkwyk, H., McAllister, B. F., Flatt, T., & Schlötterer, C. (2013) · Molecular Ecology · doi:10.1111/mec.12594 · Cited by 109
Population-Genetic Inference from Pooled-Sequencing Data
Lynch, M., Bost, D. M., Wilson, S., Maruki, T., & Harrison, S. H. (2014) · Genome Biology and Evolution · doi:10.1093/gbe/evu085 · Cited by 109
Trait Correlations in the Genomics Era
Saltz, J. B., Hessel, F. C., & Kelly, M. W. (2017) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2016.12.008 · Cited by 106
Mallard, F., Nolte, V., Tobler, R., Kapun, M., & Schlötterer, C. (2018) · Genome biology · doi:10.1186/s13059-018-1503-4 · Cited by 103
Detecting the macroevolutionary signal of species interactions
Harmon, L. J., de Andreazzi, C. S., Débarre, F., Drury, J. P., Goldberg, E. E., Martins, A. B., Melián, C. J., Narwani, A., Nuismer, S. L., Pennell, M. W., et al. (2019) · Journal of Evolutionary Biology · doi:10.1111/jeb.13477 · Cited by 100
Population genomics of wild and laboratory zebrafish (Danio rerio)
Whiteley, A. R., Bhat, A., Martins, E. P., Mayden, R. L., Arunachalam, M., Uusi‐Heikkilä, S., Ahmed, A., Shrestha, J., CLARK, M., Stemple, D. L., et al. (2011) · Molecular Ecology · doi:10.1111/j.1365-294x.2011.05272.x · Cited by 101
Baldwin-Brown, J. G., Long, A. D., & Thornton, K. (2014) · Molecular Biology and Evolution · doi:10.1093/molbev/msu048 · Cited by 97
Defining window-boundaries for genomic analyses using smoothing spline techniques
Beissinger, T. M., Rosa, G. J. M., Kaeppler, S. M., Gianola, D., & de León, N. (2015) · Genetics Selection Evolution · doi:10.1186/s12711-015-0105-9 · Cited by 98
Empirical Validation of Pooled Whole Genome Population Re-Sequencing in Drosophila melanogaster
Zhu, Y. O., Bergland, A. O., González, J., & Petrov, D. A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041901 · Cited by 92
Genomic investigations of evolutionary dynamics and epistasis in microbial evolution experiments
Jerison, E. R., & Desai, M. M. (2015) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2015.08.008 · Cited by 93
Genomics of Parallel Experimental Evolution in Drosophila
Graves, J. L., Hertweck, K. L., Phillips, M., Han, M., Cabral, L. G., Barter, T. T., Greer, L. F., Burke, M. K., Mueller, L. D., & Rose, M. R. (2016) · Molecular Biology and Evolution · doi:10.1093/molbev/msw282 · Cited by 91
High-Throughput Identification of Adaptive Mutations in Experimentally Evolved Yeast Populations
Payen, C., Sunshine, A. B., Ong, G. T., Pogachar, J. L., Zhao, W. D., & Dunham, M. J. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1006339 · Cited by 87
Maximum Likelihood Estimation of Frequencies of Known Haplotypes from Pooled Sequence Data
Kessner, D., Turner, T. L., & Novembre, J. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mst016 · Cited by 82
Self-citationQuantifying Selection with Pool-Seq Time Series Data
Taus, T., Futschik, A., & Schlötterer, C. (2017) · Molecular Biology and Evolution · doi:10.1093/molbev/msx225 · Cited by 92
Genetic basis of thermal plasticity variation in Drosophila melanogaster body size
Lafuente, E., Duneau, D., & Beldade, P. (2018) · PLoS Genetics · doi:10.1371/journal.pgen.1007686 · Cited by 86
Franssen, S. U., Nolte, V., Tobler, R., & Schlötterer, C. (2014) · Molecular Biology and Evolution · doi:10.1093/molbev/msu320 · Cited by 84
Jha, A. R., Miles, C. M., Lippert, N. R., Brown, C. D., White, K. P., & Kreitman, M. (2015) · Molecular Biology and Evolution · doi:10.1093/molbev/msv136 · Cited by 70
Drosophila Evolution over Space and Time (DEST): A New Population Genomics Resource
Kapun, M., Nunez, J. C. B., Bogaerts-Márquez, M., Murga-Moreno, J., Paris, M., Outten, J., Coronado‐Zamora, M., Tern, C., Rota‐Stabelli, O., Guerreiro, M. P. G., et al. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab259 · Cited by 69
Grunert, L. W., Clarke, J. W., Ahuja, C., Eswaran, H., & Nijhout, H. F. (2015) · PLoS ONE · doi:10.1371/journal.pone.0127988 · Cited by 76
Systems Genomics of Metabolic Phenotypes in Wild-TypeDrosophila melanogaster
Reed, L. K., Lee, K. C., Zhang, Z., Rashid, L. H., Poe, A. R., Hsieh, B., Deighton, N., Glassbrook, N., Bodmer, R., & Gibson, G. C. (2014) · Genetics · doi:10.1534/genetics.114.163857 · Cited by 72
The Linked Selection Signature of Rapid Adaptation in Temporal Genomic Data
Buffalo, V., & Coop, G. (2019) · Genetics · doi:10.1534/genetics.119.302581 · Cited by 67
An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice
Castro, J. P. L., Yancoskie, M. N., Marchini, M., Belohlavy, S., Hiramatsu, L., Kučka, M., Beluch, W., Naumann, R., Skuplik, I., Cobb, J. A., et al. (2019) · eLife · doi:10.7554/elife.42014 · Cited by 70
The Genomic Impacts of Drift and Selection for Hybrid Performance in Maize
Gerke, J., Edwards, J. W., Guill, K. E., Ross‐Ibarra, J., & McMullen, M. D. (2015) · Genetics · doi:10.1534/genetics.115.182410 · Cited by 66
Genome-Wide Analysis of Starvation-Selected Drosophila melanogaster—A Genetic Model of Obesity
Hardy, C. M., Burke, M. K., Everett, L. J., Han, M., Lantz, K., & Gibbs, A. G. (2017) · Molecular Biology and Evolution · doi:10.1093/molbev/msx254 · Cited by 66
Beissinger, T. M., Hirsch, C. N., Vaillancourt, B., Deshpande, S., Barry, K., Buell, C. R., Kaeppler, S. M., Gianola, D., & de León, N. (2013) · Genetics · doi:10.1534/genetics.113.160655 · Cited by 63
Griffin, P. C., Hangartner, S., Fournier‐Level, A., & Hoffmann, A. A. (2016) · Genetics · doi:10.1534/genetics.116.187104 · Cited by 62
Genetic architecture and selective sweeps after polygenic adaptation to distant trait optima
Stetter, M. G., Thornton, K., & Ross‐Ibarra, J. (2018) · PLoS Genetics · doi:10.1371/journal.pgen.1007794 · Cited by 63
Jónás, Á., Taus, T., Kosiol, C., Schlötterer, C., & Futschik, A. (2016) · Genetics · doi:10.1534/genetics.116.191197 · Cited by 59
Ruzicka, F., Dutoit, L., Czuppon, P., Jordan, C. Y., Li, X., Olito, C., Runemark, A., SVENSSON, E. I., Yazdi, H. P., & Connallon, T. (2020) · Evolution Letters · doi:10.1002/evl3.192 · Cited by 55
Kessner, D., & Novembre, J. (2015) · Genetics · doi:10.1534/genetics.115.175075 · Cited by 57
Trait mapping in diverse arthropods by bulked segregant analysis
Kurlovs, A. H., Snoeck, S., Kosterlitz, O., Leeuwen, T. V., & Clark, R. M. (2019) · Current Opinion in Insect Science · doi:10.1016/j.cois.2019.08.004 · Cited by 56
Genome-Wide Analysis Reveals Novel Regulators of Growth in Drosophila melanogaster
Vonesch, S. C., Lamparter, D., Mackay, T. F. C., Bergmann, S., & Hafen, E. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1005616 · Cited by 57
Genome-Wide Patterns of Genetic Variation within and among Alternative Selective Regimes
Huang, Y., Wright, S., & Agrawal, A. F. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004527 · Cited by 56
Harbison, S. T., Negron, Y. L. S., Hansen, N. F., & Lobell, A. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1007098 · Cited by 54
Kelly, J. K., & Hughes, K. A. (2018) · Genetics · doi:10.1534/genetics.118.301824 · Cited by 55
Epistasis Is a Major Determinant of the Additive Genetic Variance in Mimulus guttatus
Monnahan, P. J., & Kelly, J. K. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005201 · Cited by 54
Promises and limitations of hitchhiking mapping
Nuzhdin, S. V., & Turner, T. L. (2013) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2013.10.002 · Cited by 52
Self-citationMimicrEE2: Genome-wide forward simulations of Evolve and Resequencing studies
Vlachos, C., & Kofler, R. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006413 · Cited by 53
Genomic signatures of experimental adaptive radiation in Drosophila
Michalak, P., Kang, L., Schou, M. F., Garner, H. R., & Loeschcke, V. (2018) · Molecular Ecology · doi:10.1111/mec.14917 · Cited by 49
Uncovering the genetic signature of quantitative trait evolution with replicated time series data
Franssen, S. U., Kofler, R., & Schlötterer, C. (2016) · Heredity · doi:10.1038/hdy.2016.98 · Cited by 47
Genomic changes under rapid evolution: selection for parasitoid resistance
Jalvingh, K., Chang, P. L., Nuzhdin, S. V., & Wertheim, B. (2014) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2013.2303 · Cited by 47
Kang, L., Aggarwal, D. D., Rashkovetsky, E., Korol, A., & Michalak, P. (2016) · BMC Genomics · doi:10.1186/s12864-016-2556-y · Cited by 54
Shared Genetic Signals of Hypoxia Adaptation in Drosophila and in High-Altitude Human Populations
Jha, A. R., Zhou, D., Brown, C. D., Kreitman, M., Haddad, G. G., & White, K. P. (2015) · Molecular Biology and Evolution · doi:10.1093/molbev/msv248 · Cited by 48
The Genomic Basis of Postponed Senescence in Drosophila melanogaster
Carnes, M. U., Campbell, T. G., Huang, W., Butler, D. G., Carbone, M. A., Duncan, L. H., Harbajan, S. V., King, E. M., Peterson, K. R., Weitzel, A. J., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0138569 · Cited by 49
A Population Genomic Assessment of Three Decades of Evolution in a Natural Drosophila Population
Lange, J. D., Bastide, H., Lack, J., & Pool, J. E. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab368 · Cited by 39
Topa, H., Jónás, Á., Kofler, R., Kosiol, C., & Honkela, A. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv014 · Cited by 44
Bélanger, S., Esteves, P., Clermont, I., Jean, M., & Belzile, F. J. (2016) · The Plant Genome · doi:10.3835/plantgenome2014.10.0073 · Cited by 44
Vlachos, C., Burny, C., Pelizzola, M., Borges, R., Futschik, A., Kofler, R., & Schlötterer, C. (2019) · Genome biology · doi:10.1186/s13059-019-1770-8 · Cited by 47
Synteny‐based mapping‐by‐sequencing enabled by targeted enrichment
Galvão, V. C., Nordström, K. J. V., Lanz, C., Sulz, P., Mathieu, J., Posé, D., Schmid, M., Weigel, D., & Schneeberger, K. (2012) · The Plant Journal · doi:10.1111/j.1365-313x.2012.04993.x · Cited by 43
Clear : Composition of Likelihoods for Evolve and Resequence Experiments
Iranmehr, A., Akbari, A., Schlötterer, C., & Bafna, V. (2017) · Genetics · doi:10.1534/genetics.116.197566 · Cited by 41
Suyal, D. C., Joshi, D., Kumar, S., Bhatt, P., Narayan, A., Giri, K., Singh, M., Soni, R., Kumar, R., Yadav, A., et al. (2021) · Microbial Ecology · doi:10.1007/s00248-021-01849-x · Cited by 43
Marriage, T. N., King, E. G., Long, A. D., & Macdonald, S. J. (2014) · Genetics · doi:10.1534/genetics.114.162107 · Cited by 45
Insights into the Effects of Long-Term Artificial Selection on Seed Size in Maize
Hirsch, C. N., Flint-Garcia, S. A., Beissinger, T. M., Eichten, S. R., Deshpande, S., Barry, K., McMullen, M. D., Holland, J. B., Buckler, E. S., Springer, N. M., et al. (2014) · Genetics · doi:10.1534/genetics.114.167155 · Cited by 41
Reconstruction of Haplotype-Blocks Selected during Experimental Evolution
Franssen, S. U., Barton, N., & Schlötterer, C. (2016) · Molecular Biology and Evolution · doi:10.1093/molbev/msw210 · Cited by 37
Brennan, R. S., deMayo, J. A., Dam, H. G., Finiguerra, M. B., Baumann, H., Buffalo, V., & Pespeni, M. H. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2201521119 · Cited by 45
Spitzer, K., Pelizzola, M., & Futschik, A. (2020) · The Annals of Applied Statistics · doi:10.1214/19-aoas1301 · Cited by 42
Tobler, R., Hermisson, J., & Schlötterer, C. (2015) · Evolution · doi:10.1111/evo.12705 · Cited by 40
McGee, M. D., Neches, R. Y., & D, O. S. C. (2015) · Molecular Ecology · doi:10.1111/mec.13463 · Cited by 40
Tchounwou, P. B., Yedjou, C. G., & Dorsey, W. C. (2003) · PubMed · Cited by 40
THE OPPORTUNITY FOR BALANCING SELECTION IN EXPERIMENTAL POPULATIONS OFCAENORHABDITIS ELEGANS
Chelo, I. M., & Teotónio, H. (2012) · Evolution · doi:10.1111/j.1558-5646.2012.01744.x · Cited by 39
Kawecki, T. J., Erkoşar, B., Dupuis, C., Hollis, B., Stillwell, R. C., & Kapun, M. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab061 · Cited by 38
Metadata
- Authors
- Turner, T. L., Stewart, A. D., Fields, A. T., Rice, W. R., & Tarone, A. M.
- Affiliations
- University of California, Santa Barbara (US)
- Texas A&M University (US)
- Corresponding author
- Turner, Thomas L.
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-03-17
- Volume
- 7
- Issue
- 3
- Pages
- e1001336
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- PMC
- PMC3060078
- OpenAlex
- W2036620956
- Cited by
- 297
- References
- 53
- Citations by year
- 2026: 19 · 2025: 11 · 2024: 22 · 2023: 15 · 2022: 16 · 2021: 21 · 2020: 22 · 2019: 20 · 2018: 16 · 2017: 17 · 2016: 23 · 2015: 29 · 2014: 21 · 2013: 21 · 2012: 20
- FWCI
- 12.97
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Genetics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, other-oa)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- OakTrust (Texas A&M University Libraries) (submittedVersion)
- Funders
- Texas AgriLife Research
- National Institutes of Health
- University of California, Santa Barbara
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD057974)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Keywords
- body size variation, Drosophila melanogaster, experimental evolution, quantitative trait loci, polygenic inheritance, natural genetic variation, selection signatures, genome-wide association study
- MeSH terms
- Alleles, Animals, Chromosome Mapping, Drosophila melanogaster, Female, Gene Frequency, Genetics, Population, Genotype, Male, Phenotype, Polymorphism, Genetic, Sequence Analysis, DNA, Evolution, Molecular, Body Size, Genome-Wide Association Study
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review